The cluster supports inventive studies seeking to address fundamental mechanisms involved in the evolution, organization, dynamics, and utilization of genetic information within cellular systems. Projects are encouraged that employ theoretical, computational, and experimental approaches to integrate structural, biochemical, genetic, and "omic" (genome, transcriptome, interactome, phenome, etc.) data to discover rules that help explain the relationship of genotype to molecular phenotype. Interdisciplinary research is encouraged, and when driven by compelling questions, development and use of innovative in vivo and in vitro technical and computational approaches are welcome.

Funding priority is given to proposals that employ quantitative frameworks and promise high-impact advances in the following areas: